ArticleBioinformatics (Oxford, England)2018
gmxapi: a high-level interface for advanced control and extension of molecular dynamics simulations.
Article in Bioinformatics (Oxford, England), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
4 citing papers in PubMed.
- ST-Analyzer: A Packaged Web and Command-Line Interface for Simulation Trajectory Analysis.bioRxiv : the preprint server for biology · 2026Article
- gmxapi: A GROMACS-native Python interface for molecular dynamics with ensemble and plugin support.PLoS computational biology · 2022Article
- Hybrid Refinement of Heterogeneous Conformational Ensembles Using Spectroscopic Data.The journal of physical chemistry letters · 2019Article
- Adaptive ensemble simulations of biomolecules.Current opinion in structural biology · 2018Review
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Authors and funding
3 authors.
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Abstract
Summary: Molecular dynamics simulations have found use in a wide variety of biomolecular applications, from protein folding kinetics to computational drug design to refinement of molecular structures. Two areas where users and developers frequently need to extend the built-in capabilities of most software packages are implementing custom interactions, for instance biases derived from experimental data, and running ensembles of simulations. We present a Python high-level interface for the popular simulation package GROMACS that i) allows custom potential functions without modifying the simulation package code, ii) maintains the optimized performance of GROMACS and iii) presents an abstract interface to building and executing computational graphs that allows transparent low-level optimization of data flow and task placement. Minimal dependencies make this integrated API for the GROMACS simulation engine simple, portable and maintainable. We demonstrate this API for experimentally-driven refinement of protein conformational ensembles. Availability and implementation: LGPLv2.1 source and instructions are available at https://github.com/kassonlab/gmxapi. Supplementary information: Supplementary data are available at Bioinformatics online.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.